Self-indexing inverted files for fast text retrieval
ACM Transactions on Information Systems (TOIS)
Retrieving and organizing web pages by “information unit”
Proceedings of the 10th international conference on World Wide Web
Static index pruning for information retrieval systems
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Efficiency and effectiveness of query processing in cluster-based retrieval
Information Systems
Simplified similarity scoring using term ranks
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Efficient document retrieval in main memory
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Incremental cluster-based retrieval using compressed cluster-skipping inverted files
ACM Transactions on Information Systems (TOIS)
Sorting out the document identifier assignment problem
ECIR'07 Proceedings of the 29th European conference on IR research
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
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Web search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed with the similarity computations for those pages only within these sites.